#Machine Learning
In Machine Learning, artificial systems learn from experience – similar to humans. This technology can be used in various applications in research and practice, for example to analyse medical data or fend off IT attacks.
Publications
Labadie-Tamayo, R., Slijepčević, D., Chen, X., Böck, A. J., Babic, A., Freimann, L., Atzmüller, C., & Zeppelzauer, M. (2026). Distilling knowledge from large language models: A concept bottleneck model for hate and counter speech recognition. Information Processing & Management, 63(2, Part A), 104309. https://doi.org/10.1016/j.ipm.2025.104309
Slijepčević, D., Klausner, L. D., Eigner, O., Ladner, S., Kietreiber, T., Belinskaya, Y., Kovac, F., Priebe, T., Judmaier, P., Litschka, M., & Zeppelzauer, M. (2026). TrustAI: Designing and Implementing a Trustworthy and User-Centered AI Platform. Proceedings of the 36th International Conference on Database and Expert Systems Applications – DEXA 2025 Workshops, CCIS, volume 2615, 15–29. https://doi.org/10.1007/978-3-032-02003-1_2
Feilacher, D., Jakl, A., Girsule, B., Lehner, S., Smith, H., Dominka, S., & Heller, M. (2025). Enhancing Home Safety through Multisensory Robotic Detection of Fallen Persons and Fall Hazard Warning. Sensors & Transducers, 271(4), 13–23. https://sensorsportal.com/p_3384.html
Höld, E., Rathmanner, T., & Heller, M. (2025). Teenage Body Image Perception, Body-shaping Behavior, and Body Composition With Respect to Use of “Fitspiration”: Exploratory Investigation Study. JMIR Formative Research, 9, e70964. https://doi.org/10.2196/70964
Babic, A., Chen, X., Slijepčević, D., Böck, A. J., & Zeppelzauer, M. (2025). CounterHelp: Promoting Online Civil Courage Among Young People Through AI-Generated Counter Speech. Proceedings of the 33rd ACM International Conference on Multimedia, 13513–13515. https://doi.org/10.1145/3746027.3754473
Feilacher, D., Girsule, B., Lehner, S., Heller, M., Smith, H., & Jakl, A. (2025). Smart Companion: An Audio-visual Lying Person Detection System Integrated in a Robot Vacuum Cleaner. Proceedings of the 11th International Conference on Sensors and Electronic Instrumentation Advances (SEIA" 2025), 57–62. https://www.seia-conference.com/seia_2025_proceedings.html
Slijepčević, D., Ladner, S., Judmaier, P., Zeppelzauer, M., Kranzl, A., & Horsak, B. (2025). AI applications and data annotation practices in clinical gait analysis: Initial insights from a survey of ESMAC and GAMMA members. Gait & Posture, ESMAC 2025 Abstract, 121, 229–230. https://doi.org/10.1016/j.gaitpost.2025.07.246
Krondorfer, P., Slijepčević, D., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2025). Predicting joint contact forces using a combination of kinematics, anthropometrics, and demographics with explainable artificial intelligence. Gait & Posture, ESMAC 2025 Abstract, 121, 126–128. https://doi.org/10.1016/j.gaitpost.2025.07.139
Labadie-Tamayo, R., Böck, A. J., Chen, X., & Zeppelzauer, M. (2025). FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models⋆. 12. https://doi.org/10.48550/arXiv.2507.20924
Höld, E., Größbacher, S., Kramml, P., Zeppelzauer, M., Prokop, B., Heller, M., & Rathmanner, T. (2025). Fit for #fitspiration: Human-Centred Design of a Blended Learning Course for Upper Secondary Schools. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-025-09871-5